93 research outputs found
Proof over promise: towards a more inclusive ranking of Dutch academics in Economics & Business
The Dutch Economics top-40, based on publications in ISI listed journals, is - to the best of our knowledge - the oldest ranking of individual academics in Economics and is well accepted in the Dutch academic community. However, this ranking is based on publication volume, rather than on the actual impact of the publications in question. This paper therefore uses two relatively new metrics, the citations per author per year (CAY) metric and the individual annual h-index (hIa) to provide two alternative, citation-based, rankings of Dutch academics in Economics & Business. As a data source, we use Google Scholar instead of ISI to provide a more comprehensive measure of impact, including citations to and from publications in non-ISI listed journals, books, working and conference papers.
The resulting rankings are shown to be substantially different from the original ranking based on publications. Just like other research metrics, the CAY or hIa-index should never be used as the sole criterion to evaluate academics. However, we do argue that the hIa-index and the related citations per author per year metric provide an important additional perspective over and above a ranking based on publications in high impact journals alone. Citation-based rankings are also shown to inject a higher level of diversity in terms of age, gender, discipline and academic affiliation and thus appear to be more inclusive of a wider range of scholarship
The intellectual influence of economic journals: quality versus quantity
The evaluation of scientific output has a key role in the allocation of
research funds and academic positions. Decisions are often based on quality indicators
for academic journals, and over the years, a handful of scoring methods have
been proposed for this purpose. Discussing the most prominent methods (de facto
standards) we show that they do not distinguish quality from quantity at article level.
The systematic bias we find is analytically tractable and implies that the methods are
manipulable. We introduce modified methods that correct for this bias, and use them
to provide rankings of economic journals. Our methodology is transparent; our results
are replicable
Rules versus Discretion in Committee Decision Making: An Application to the 2001 RAE for UK Economics Departments
The question of rules versus discretion has generated a great deal of debate in many areas of the social sciences. Recently, much of the discussion among academics and stakeholders about the assessment of research in UK higher education institutions has focused on the means that should be used to determine research quality. We present a model of committee decision-making when both rules and discretion are available. Some of the predictions of the model are tested empirically using the UK RAE 2001 results
On the Robustness of Alternative Rankings Methodologies for Australian and New Zealand Economics Departments
SMILE: Search for MIlli-LEnses
ABSTRACTDark matter (DM) haloes with masses below âź108 Mâ, which would help to discriminate between DM models, may be detected through their gravitational effect on distant sources. The same applies to primordial black holes, considered as an alternative scenario to DM particle models. However, there is still no evidence for the existence of such objects. With the aim of finding compact objects in the mass range of âź106â109 Mâ, we search for strong gravitational lenses on milliarcsec scales (</p
Role of Education in Economic Growth in the Russian Federation and Ukraine
This study analyses the role and impact of education on economic growth in the two largest economies of the former Soviet Bloc, namely, the Russian Federation and Ukraine. It attempts to estimate the significance of different educational levels, including secondary and tertiary education, for initiating substantial economic growth that now takes place in these two countries. This study estimates the model of endogenous economic growth and the system of linear and log-linear equations that account for different time lags in the possible impact of higher education on economic growth. The model estimation shows that there is no significant impact of educational attainment on economic growth. The results from the system of equations indicate that an increase in access of population to higher education brings positive results for the per capita GDP growth in the long term. Increasing the number of college-educated specialists leads to sustainable economic growth. The suggestion can be made that the ground for the 2000-2007 rapid economic growth in Ukraine and in the Russian Federation was laid down in early 1990s. This contradicts commonly accepted perception about the crisis decade of 1990s in the former Soviet Bloc
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